import numpy as np
from matplotlib import pyplot as plt

data = np.loadtxt('results', delimiter=' ',skiprows=0)

cell_vol = 0.1*0.1*(2/640)
domain_vol = 0.1*0.1*2
rho_l = 1000

############################### GLOBAL ERROR ################################

error_global = (abs((data[len(data[:,1])-1,1] 
            - data[0,1])-(data[len(data[:,2])-1,2]- data[0,2]))/data[0,1])*100
################################ MASS RELATIVE ERROR #########################
error = np.zeros(len(data[:,1])-1)

for i in range(0,len(error)):
    error[i] = (abs((data[i+1,1]-data[i,1])
                    -(data[i+1,2]-data[i,2]))/data[0,1])*100
   
plt.plot(data[:len(error),0],error)
plt.xlabel('Time [s]')
plt.ylabel('Mass relative error [%]')
plt.ylim(0,1e-4)
plt.xlim(0,0.1)
plt.grid(axis='both')
plt.ticklabel_format(axis="y", style="sci", scilimits=(0,0))
plt.savefig("MassRelativeErrorCond.png")
plt.close()

############################# SUM OF ALPHAS ##################################

avg_sum_alpha = (((data[:,1]/rho_l)+data[:,2]+data[:,3])/cell_vol)/640
plt.plot(data[:,0],avg_sum_alpha)
plt.ylim(0,2)
plt.xlim(0,0.1)
plt.xlabel('Time [s]')
plt.ylabel('Average sum of void fractions [-]')
plt.grid(axis='both')
plt.savefig("AverageSumOfAlphasCond.png")
plt.close()

#################### Volume average development of alphas ####################

alpha_l = (data[:,1]/rho_l)/domain_vol
alpha_v = data[:,2]/domain_vol
alpha_nc = data[:,3]/domain_vol

plt.plot(data[:,0],alpha_l, label ='alpha_l', linestyle='-.')
plt.plot(data[:,0],alpha_v, label ='alpha_v', linestyle='--')
plt.plot(data[:,0],alpha_nc, label ='alpha_nc')
plt.ylim(0,1)
plt.xlim(0,0.1)
plt.xlabel('Time [s]')
plt.ylabel('Volume averaged void fractions [-]')
plt.grid(axis='both')
plt.legend(loc='upper right')
plt.savefig("VolumeAveragedAlphasCond")
plt.close()

############################# Mass alpha_l ###################################

plt.plot(data[:,0],data[:,1])
plt.ylim(9.49,9.5)
plt.xlim(0,0.1)
plt.xlabel('Time [s]')
plt.ylabel('Mass liquid [kg]')
plt.grid(axis='both')
plt.xticks(rotation=25)
plt.savefig("MassOfLiquidCond")
plt.close()

############################# Mass alpha_v ###################################

plt.plot(data[:,0],data[:,2])
plt.ylim(0,1e-2)
plt.xlim(0,0.1)
plt.xlabel('Time [s]')
plt.ylabel('Mass vapour [kg]')
plt.grid(axis='both')
plt.xticks(rotation=25)
plt.savefig("MassOfVapourCond")
plt.close()

############################# Mass alpha_nc ###################################

plt.plot(data[:,0],data[:,3])
plt.ylim(0,1e-2)
plt.xlim(0,0.1)
plt.xlabel('Time [s]')
plt.ylabel('Mass air [kg]')
plt.grid(axis='both')
plt.xticks(rotation=45)
plt.savefig("MassOfAirCond")
plt.close()

############################# Surface height lv ###############################

plt.plot(data[:,0],data[:,4])
plt.ylim(0.9,1)
plt.xlim(0,0.1)
plt.xlabel('Time [s]')
plt.ylabel('Liquid/vapour surface height [m]')
plt.grid(axis='both')
plt.savefig("SurfaceHeightLVCond")
plt.close()

############################# Surface height vnc #############################
plt.plot(data[:,0],data[:,5])
plt.ylim(0.9,1.8)
plt.xlim(0,0.1)
plt.xlabel('Time [s]')
plt.ylabel('Vapour/air surface height [m]')
plt.grid(axis='both')
plt.savefig("SurfaceHeightVNCCond")
plt.close()

############################# Surface velocity lv #############################
plt.plot(data[:,0],data[:,6])
plt.ylim(-2.25,0)
plt.xlim(0,0.1)
plt.xlabel('Time [s]')
plt.ylabel('Liquid/vapour surface height velocity [m/s]')
plt.grid(axis='both')
plt.savefig("SurfaceVelocityLVCond")
plt.close()

############################# Surface velocity vnc #############################
plt.plot(data[:,0],data[:,7])
plt.ylim(-12,0)
plt.xlim(0,0.1)
plt.xlabel('Time [s]')
plt.ylabel('Vapour/air surface height velocity [m/s]')
plt.grid(axis='both')
plt.savefig("SurfaceVelocityVNCCond")
plt.close()